cognitive
algorithms
sum of the dimensions
labeled
hidden structures
one or more hidden layers
computational model based
Moderate the updates
Instead of jumping enthusiastically to each new A, we take a fraction of the change ΔA
Keeping some of the precious data
dendrites along the axon to the terminal
one neuron to the other
specialize sensory neurons
Receives input from sources
Computes the weighted sums
Passes through an activation function
Sends the signal to m succeeding neurons
readily
triggers an output
outputs are produced
dendrites, signal
threshold
fires, axon
Provides neruon to many more
forward
backwards
If the complex difficult function is the error of the network
Going downhill to find the minimum means we’re minimizing the error
We’re improving the network’s output. That’s what we want!